[Numerical Modeling 4] A short tutorial on NumPy, multi-dimensional arrays and matrices library

NumPy is one of the core libraries that everyone will work with at some point when he/she starts to use Python for a serious reason. That’s a sufficient reason to push us to have a look at it. If you already know MATLAB and its concepts for working with matrices, Numpy will not be a new thing for you, and you can immediately start to use it. Let’s see how it looks like.

Educational Materials:

Topics covered:
🎯 Creating NumPy arrays
🎯 Basic NumPy functions
🎯 Indexing, slicing, and fancy slicing
🎯 Vector and matrix operations and computations
🎯 Operators and indexing
🎯 Data processing and statistics in NumPy
🎯 Reshaping, resizing, and stacking arrays

[vbstein]

Goes blurry and illegible from 6:34 to 7:41